89results about How to "Accurate identification method" patented technology

The invention discloses a method and system for tracking targets in a video based on the PTZ. The method comprises the following steps: 100, utilizing a Gaussian mixture modeling method for setting up a background model for a video image obtained by a camera in a preset position scene, and detecting the motion targets in a monitored video image immediately obtained by the camera in the preset position scene; 200, calculating a grey level histogram of the motion targets of the monitored video image, recording template information of the motion targets, and updating parameter information of the motion targets according to the video image immediately obtained by the camera; 300, conducting judgment according to the parameter information and controlling the camera to conduct the corresponding adjustment according to the judged result. The method and system for tracking the targets in the video based on the PTZ can initially and accurately track the motion targets and accurately distinguish the motion targets of the video image.

Provided are a camera shooting type remote water meter reading system achieving fast recognition and a reading recognition method thereof. The system comprises a camera, a fill light, a single-chip microcomputer, a storage and an RS485 circuit; the camera is arranged to be just opposite to a dial plate of a direct-reading character wheel water meter, the fill light is arranged near the camera, light is emitted to the dial plate of the direct-reading character wheel water meter, the single-chip microcomputer is connected with the camera, the fill light, the storage and the RS485 circuit separately, image information of the dial plate of the direct-reading character wheel water meter is shot by the camera and sent to the single-chip microcomputer, the single-chip microcomputer firstly trains dial plate image training samples to obtain feature vector matrices of numbers from 0 to 9 and form a factor matrix, then the collected dial plate image information is processed to obtain digital pictures of all character wheels, and finally an actual reading of the water meter dial plate is obtained by multiplying the digital picture of each character wheel by the factor matrix. According to the camera shooting type remote water meter reading system achieving fast recognition and the reading recognition method thereof, the problem that an existing water meter reading system single-chip microcomputer is out of memory can be effectively solved, and the cost of the water meter reading system is lowered.

The invention discloses separation, purification and identification methods of human amnion mesenchymal stem cells. The separation method of hAMSCs (human amnion mesenchymal stem cells) comprises the following steps: fragmentating human amnion; and carrying out two-step rotating digestion with trypsin of EDTA (ethylene diamine tetra-acetic acid) and collagenase of DNaseI, filtering with a steel mesh and collecting cell filtrate namely separated original hAMSCs. The purification method of hAMSCs comprises the following steps: incubating original hAMSCs with an LG (low glucose)-DMEM (dulbecco modified eagle medium) culture medium in a CO2 incubator; removing amnion epithelial cells which do not perform complete adherence growth under an inverted microscope; replacing a new culture medium on the third day; digesting with a trypsin-EDTA solution after cell converge degree reaches 80-90%; and collecting cells so as to obtain high-purity hAMSCs. The identification method of hAMSCs comprises the following steps: identifying hAMSCs and the amnion epithelial cells by adopting immunocytochemical staining vimentin and CK19; and detecting expressions of CD29, CD44, CD166, CD34 and CD45 by adopting a flow cytometry. The separation and purification methods disclosed by the invention have the advantages of high yield, high activity and high purity of hAMSCs; and the identification method is simple, convenient and precise.

The invention relates to a fast and intelligent waste plastic sorting method. The method comprises the steps of scanning the infrared spectrum of a sample with an attenuated total reflection fourier transform infrared spectrograph to obtain an infrared spectrum data matrix, pre-processing the data matrix including standardization and principal component analysis and dimensionality reduction, and carrying out cluster analysis on data with dimensionality reduced by means of the hierarchical clustering method. The result shows that the sample testing method is free of sample preprocessing and high in sample testing speed, and the accuracy of sorting of waste plastic can reach 100% by means of the principal component analysis - hierarchical clustering identification method. Therefore, fast and intelligent waste plastic sorting is achieved by means of attenuated total reflection fourier transform infrared spectrum and chemical mode combined identification.

The invention relates to the wireless network field, and discloses a method and a device for recognizing a pseudo WiFi network by a wireless terminal. The method comprises the following steps: whether four handshake packets appear in the current network communication data packet is monitored; if yes, at least one following step or a step combination is executed: A, whether the handshake information in the four handshake packets is consistent with the handshake information used when the WiFi network is accessed last time, if not consistent, the current WiFi network is determined to have a risk of belonging to a pseudo WiFi network; and B, after the WiFi network is accessed, a first route arriving at a specified IP address is acquired, whether the first route is consistent with a second route arriving at the specified IP address when the WiFi network is accessed last time is judged, and if not consistent, the current WiFi network is determined to have a risk of belonging to a pseudo WiFi network. A more precise recognition method is given to the pseudo WiFi network, and error judgment and missed judgment can be reduced.

The invention discloses an animal body temperature monitoring system based on an intelligent livestock farm, an abnormal body temperature identifying method and an abnormal body temperature area positioning method. The animal body temperature monitoring system based on the intelligent livestock farm comprises a body temperature collection module, a wireless transmission module, a gateway and a cloud monitoring server, wherein the body temperature collection module is used for collecting animal body temperature data and periodically sending module IDs and the data at the first frequency; the wireless transmission module receives and aggregates the data periodically sent by the body temperature collection module and module signal sensitivity RSSI parameters corresponding to the module IDs and the body temperature data, and forwards the data and the module signal sensitivity RSSI parameters at the second frequency; the gateway directly uploads the data sent by the wireless transmission module at the second frequency to a public network or uploads the data after interruption; the cloud monitoring server receives the data input through the gateway, and conducts processing and abnormality warning on temperature data analysis corresponding to each ID. Compared with traditional monitoring, the management level and efficiency of the breeding industry can be improved, and the epidemic disease infection associated with body temperature changes is reduced.

The invention relates to a method for quickly and accurately identifying northern snakehead, Taiwan snakehead and hybrid snakehead. The method comprises the steps as follows: 1) synthesizing primers; 2) extracting DNAs (Deoxyribose Nucleic Acids) from the northern snakehead, the Taiwan snakehead and the hybrid snakehead [the northern snakehead (Venus symbol) * the Taiwan snakehead (Mars symbol)]; 3) carrying out SRAP-PCR (Sequence-Related Amplified Polymorphism-Polymerase Chain Reaction) reaction by adopting a renaturation temperature change method; 4) carrying out electrophoresis detection; and 5) combining the primers capable of being used for identifying the northern snakehead, the Taiwan snakehead and the hybrid snakehead [the northern snakehead (Venus symbol) * the Taiwan snakehead (Mars symbol)], processing stripes by using a Gelpro32 software, marking the sizes of the stripes, and identifying in other sampled groups. According to the method, the northern snakehead, the Taiwan snakehead and the hybrid snakehead [the northern snakehead (Venus symbol) * the Taiwan snakehead (Mars symbol)] can be easily identified by utilizing an SRAP technology by cutting away a small amount of fin rays or other fish tissue parts only without killing fishes.

The invention discloses a method for identifying lamb meat and adult mutton, which comprises the following steps of extracting metabonomics data of a sample to be detected, and carrying out chemometrics analysis on the detection data to extract characteristic information, analyzing through the chemometrics, establishing an analysis model to screen difference markers, and using the screened characteristic marker to identify the sample to be detected. A reliable and rapid identification method is provided for distinguishing the lamb meat from the adult mutton, the method is convenient, sensitiveand accurate, and the rapid identification on the mutton can be achieved by screening the difference marker through the analysis model.

The invention relates to an SSR (simple sequence repeat) molecular marker for detecting fertility of stamens of beta vulgaris and application of the SSR molecular marker, and can be applied to detecting fertility of stamens of beta vulgaris. By the aid of the SSR molecular marker and the application, the problems of deficiency of molecular markers related to fertility of stamens of beta vulgaris and difficulty in identifying the fertility of the stamens of the beta vulgaris can be solved. Primer pairs for carrying out PCR (polymerase chain reaction) amplification on the molecular marker are BvRE051-S and BvRE051-A. The SSR molecular marker can be used for identifying the fertility of the stamens of the beta vulgaris. The SSR molecular marker and the application have the advantages that the consistency of detection results obtained by the aid of the SSR molecular marker and the performance of traits of the fertility of the stamens of the beta vulgaris can reach 70% and can reach 63.33% and 76.67% in fertile and infertile individuals; chain relations between the SSR molecular marker and the fertility of the stamens are shown, and accordingly the SSR molecular marker can be used for detecting the fertility of the stamens.

The invention discloses an automobile identification method based on the Centernet. The automobile identification method comprises the following steps: S1, acquiring and collecting original image data; s2, classifying the original images into a training set, a verification set and a test set; respectively carrying out enhancement processing on the training set, the verification set and the test set to obtain an enhanced training set, an enhanced verification set and an enhanced test set; s3, building a network structure based on the Centernet; s4, standardizing the Center network structure byadopting Group Normalization, taking a Radam optimizer as an optimization method of network training, and carrying out iterative training to obtain a trained Centernet network structure; and S5, verifying and testing the trained Centernet network structure by using the enhanced verification set and the enhanced test set. According to the method, on the basis of vehicle types and position features,the features of the bottom layer in the image are extracted through a novel convolutional network method, and therefore the more detailed features of the vehicle track are obtained at the spatial position.

The invention discloses a method for fast identifying frankliniella occidentalis. The method is based on the identification results of forms of six kinds of adult thrips such as frankliniella occidentalis and the like for respectively carrying out PCR amplification by using two pairs of frankliniella occidentalis specific primers F.OL1 / F.OR and F.OL2 / F.OR to establish the method for fast identifying the frankliniella occidentalis. The invention has the advantages of high speed, accuracy and good specificity, provides an effective identification measure for the quarantine pest of the frankliniella occidentalis, and has important meaning for protecting the ecological environment.

The invention relates to a standard detection sequence for a DNA bar code of Leuciscus waleckii and application of the standard detection sequence. The invention aims at providing the standard detection sequence for the DNA bar code of the Leuciscus waleckii and application of the standard detection sequence in species identification. The standard detection sequence is represented by SEQ ID NO:1 in a sequence table. By utilizing the standard detection sequence for the DNA bar code of the Leuciscus waleckii, the molecular identification of the Leuciscus waleckii can be realized, and the identification time can be effectively shortened. The standard detection sequence is used for identifying the Leuciscus waleckii.

The invention relates to a method for identifying a distribution transformer winding material. From the perspective of the design of a distribution transformer, the parameters of a basic material of a to-be-detected distribution transformer are acquired, the distribution transformer calculation data obtained in a design calculation manner is compared with data on a nameplate or real data, and the distribution transformer winding is judged to be aluminum material if the deviation of the calculation data and the data on the nameplate or the real data reaches a condition value; the condition value is that the current density is less than 1.5A / mm<2>, the load loss is more than 5 percent of a standard value or a nameplate value, the short-circuit impedance deviation exceeds 10%, the no-load loss exceeds the standard value or the nameplate value by 5%, the no-load loss exceeds the standard value or the nameplate value by 5%, the appearance size deviation is more than 8 percent, and the weight deviation is more than 10 percent. By adopting the method, the winding material of the distribution transformer can be conveniently, rapidly and accurately identified.

The invention discloses a short-tandem-repeats (STR) primer combination for source-traced identification on a beef product and a detection kit. The invention provides a primer kit for identifying beef. The primer kit is (1) or (2), wherein the (1) consists of primer pairs BM1818, ILSTS005, INRA032, INRA035, BM1824, HEL5, HEL13, ILSTS006, CSRM60, INRA005, INRA037, INRA063, ETH10, ETH225, NRA023 and TGLA1225; the (2) consists of a primer group A, a primer group B, a primer group C and a primer group D; the primer group A consists of primer pairs BM1818, ILSTS005, INRA032 and INRA035. According to the method provided by the invention, the selected 16 STR markers have the advantages that the polymorphism is high, the markers are not in linkage, amplified fragments have polymorphism, and genotyping is facilitated; primer sequences of different marker bits are grouped and are modified by using different fluorescent dyes, so that grouped multiplex PCR (Polymerase Chain Reaction) detection can be achieved, the cost is reduced, the time is shortened, and the efficiency is increased.

The invention relates to a PCR method identified by thelephora ganbajun Zang and a specific primer thereof. The Thelephora ganbajun Zang can be efficiently distinguished from other telephora and thelephora ganbajun Zang companion fungus with similar shape through DNA extraction, specificity PCR reaction and agarose gel electrophoresis detection, and a quick and accurate identification method is provided for the separation and purification of thelephora ganbajun. The invention has the advantages of high efficiency, speediness, strong specificity, good repeatability, and the like.

The invention discloses a method for identifying anoectohilus formosanus and adulterants thereof based on near infrared spectroscopic technologyy. The method comprises the following steps: (1) takingsample powder to be detected, loading samples, and collecting a near infrared spectrogram; and (2) by adopting a PCA-Cluster analysis method as a calculation method, selecting first-order derivation (db1) and standard normal variateion (SNV) to pre-treat the near infrared spectrogram, and identifying the anoectohilus formosanus and the adulterants thereof by applying the score value of the principal components of the samples. The identification method disclosed by the invention has the advantages of being simple, convenient, fast, accurate, green, environment-friendly, non-destructive to the samples and the like, can effectively identify the anoectohilus formosanus and the adulterants thereof, and has good application prospects.

The invention relates to the technical field of internet of things, and provides a method and a device for identifying illegal machine card separation of the internet of things. The method comprises the steps of collecting data through a corresponding interface in the Internet of Things; and establishing a mapping relationship between the acquired data, and when it is detected that the mapping relationship between the identifier of a first terminal and / or the identifier of a first Internet of Things card is not matched with the mapping relationship between the identifier of the first terminaldevice and the identifier of the first Internet of Things card which are stored in history, performing Internet of Things illegal machine-card separation verification. An Internet of Things terminal portrait library is established by collecting signaling and service data in the Internet of Things and analyzing and extracting the terminal identifier, the Internet of Things card identifier, the signaling data and the service data, and the security of the Internet of Things terminal is effectively guaranteed based on the fingerprint in the terminal portrait library.

The invention discloses a key information infrastructure asset identification method combined with a mixed random forest, and belongs to the technical field of computers and information science. The method comprises the following steps of carrying out the structured processing on the collected facility asset data and carrying out the feature optimization expression to obtain an extended feature vector; in combination with a Delphi expert consultation method and a principal component analysis method, analyzing the key influence factors of the asset facilities, and extracting the key feature vectors; combining the plurality of random forest judgment models with a gating function to obtain a mixed random forest judgment model; and based on the constructed mixed random forest model, identifying whether the traffic is a key asset infrastructure or not. According to the key information infrastructure asset recognition method provided by the invention, the asset feature construction and the key factor extraction are realized by combining a machine learning method under big data, and the respective expert models are constructed by partitions, so that the recognition accuracy and efficiency are improved, and the generalization ability and expandability of the model are improved.

The invention discloses a high-wind-speed area power grid equipment query method based on Doppler radar radial wind speed. The method solves the technical problem that a high-wind-speed area is difficult to recognize in the prior art, and accordingly power grid equipment greatly influenced by gale can not be inquired and gale disaster analysis of the power grid equipment can not be carried out. Through a series of procedures such as extraction of Doppler radar radial wind speed data, clustering, high-wind-speed area synthesis and power grid equipment query, original discrete coordinate data are converted into high-wind-speed area information, a reliable and accurate power grid high-wind-speed area reorganization method is provided, the power grid equipment greatly influenced by the gale is finally inquired, and professional personnel are helped to analyze influences of gale disasters on the power grid equipment.

The invention belongs to the technical field of traditional Chinese medicine species identification, and provides a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method for identifying dinodon rufozonatum. The sequence of the premier is DK1-CO1:5'-CAA CTA ACC ACA AAG ACA TCG G-3', DK1-CO2:5'-CTT CTG GCT GGC CGA AAA ATC A-3'; and the characteristic DNA base sequence of dinodon rufozonatum is 5'-GTGCAC-3', which can be recognized and cut by restriction endonuclease APaL I. The identification comprises the following steps: extracting the DNA of a sample; using premiers DK1-CO1 and DK1-CO2 to carry out PCR amplification; using restriction endonuclease APaL I to digest the PCR products; carrying out agarose gel electrophoresis to obtain the analysis result; and comparing the analysis result with the PCR-RFLP characteristic result of dinodon rufozonatum to judge whether the provided sample is dinodon rufozonatum or not. The invention also provides a kit for the identification method. The identification is accurate, rapid, and reliable, and is capable of effectively identifying dinodon rufozonatum from other snakes.

The blue crab germ plasm detecting and identifying method includes: 1. extracting DNA of blue crab sample; 2. PCR amplification and purification with the extracted DNA as template; 3. measuring the DNA sequence of PCR amplifying product; and 4. analyzing the sequencing data through selecting standard comparison sequence, comparing and identifying haplotype sequence length, haplotype distribution, base A, T, G and C component persentages, haplotype number, interspecies net genetic distance and individual genetic diversity, and constituting system cladogram. Chinese blue crab is detected to be S.paramamosain. The present invention is effective molecular marking technology.

The invention discloses a method for identifying the seeds of glycyrrhiza uralensis and glycyrrhiza inflata batalin, which comprises the following steps of: preparation of enzyme liquid, preparation of a gel plate, sample application and electrophoresis, SOD (superoxide dismutase) isozyme dyeing process, variety conformation and the like. The method mainly makes use of the physiological and biochemical difference between the seeds of glycyrrhiza uralensis and glycyrrhiza inflata batalin, and takes the SOD isozyme zymogram as an index for identifying the seeds of glycyrrhiza uralensis and glycyrrhiza inflata batalin. If the SOD isozyme zymogram of the seed to be detected is the same as the two lanes on the left side of a standard zymogram, the seed is the glycyrrhiza uralensis seed; if the SOD isozyme zymogram of the seed is the same as the two lanes on the right side of the standard zymogram, the seed is the glycyrrhiza inflata batalin seed. The identifying method disclosed by the invention has the advantage of simple, quick and accurate identification.

The invention discloses maternal genetic markers for identification of domestic cattle of bos and an identification method and application thereof, belonging to the technical field of genetic marker-assisted selection. The maternal genetic marker for ordinary cattle comprises specific deletion gap249, the maternal genetic marker for zebu cattle comprises specific deletion gap191, and the maternal genetic marker for gayal and yaks comprises specific deletion gap179-186. In the identification method, the genetic markers of specific deletion of the three types of cattle are used for identification, and the results are completely consistent with cluster results. Therefore, the identification method can completely substitute the complex cluster analysis for convenient and effective identification of zebu cattle, ordinary cattle or gayal and yaks, and can overcome the inaccuracy of cattle appearance identification. The primers provided by the invention for simultaneous expansion of the DNA of the four types of cattle are shown in SEQ ID No. 5 and SEQ ID No. 6.

The invention discloses a TLC identification method for Naoxinqing tablet and persimmon leaf extract. The method includes the following steps: a) a prepared test article is ground and porphyrized, methanol is added, and the mixture obtained is processed by ultrasonication and then is filtered; filter liquor is dried by distillation, water is added to residuals, the mixture obtained is thoroughly stirred so as to dissolve the residuals, filtration is carried out, hydrochloric acid is added to the filter liquor, absolute ether is used for shaking extraction, and an aether layer is separated to be obtained and then is dried by volatilization; the methanol is added for dissolving the residuals, and first test article solution can be obtained; b) proportioned with the chemical ingredients, a persimmon leaf is processed by the operations identical with the step a), and obtained liquor is used as a first reference drug solution; c) a protocatechuic acid reference substance is prepared and then is added with and dissolved in the methanol, and obtained liquor is used as a first reference substance solution; and d) the first test article solution, the first reference drug solution and the first reference substance solution are processed by the TLC analysis. The test article is not the Naoxinqing tablet or the persimmon leaf extract, providing that in the chromatogram of the test article,spots with the same color can not be displayed on corresponding positions on the chromatograms of the reference drug and the reference substance.

The invention relates to a method for rapidly discriminating the authenticity of a medicine material of Marsdeniae Tenacissimae Caulis, and belongs to the technical field of traditional Chinese medicine identification. The method comprises preparation of a tested object, detection for a taste response value of an electronic tongue and discrimination of a Marsdeniae Tenacissimae Caulis authenticityidentification database. According to the method, an electronic tongue taste detection system is used to quantitatively detect the taste response value of the true or counterfeit Marsdeniae Tenacissimae Caulis, a stoichiometric analysis method is combined, a qualitative identification standard database of taste of the true / counterfeit Marsdeniae Tenacissimae Caulis is established in a universal environment, and the on the premise that the test response value of the Marsdeniae Tenacissimae Caulis to be discriminated is known, the established qualitative identification standard database can beused to discriminate the authenticity of the unknown medical material accurately and rapidly. The method is innovation of a classical Chinese medicine method, compared with traditional property and shape discrimination, the method is more objective and more accurate, and compared with microscopic, physical-chemical and DNA molecular biological discrimination, the method is rapid and simple and saves the cost.

The invention relates to a dense sandstone oil-gas storage layer crack recognition method. The recognition method comprises the steps that firstly, the comprehensive expression form of the relation among the reservoir base block depth induction conductivity, porosity and the mud content is established; secondly, the mud content, the porosity and the depth induction conductivity corresponding to various depth sampling points of a single-well to-be-recognized well section sandstone reservoir section are obtained, a data fitting method is adopted in the same sandstone reservoir section for determining undetermined parameters in the comprehensive expression form, and the base block depth induction conductivity corresponding to various depth sampling points in the sandstone reservoir section isdetermined; and thirdly, comparison is conducted on the well logging response feature value of a depth induction conductivity curve corresponding to various depth sampling points in the same sandstone reservoir section and the base block depth induction conductivity, and when the depth induction conductivity of one section is larger than the base block depth induction conductivity, the section isjudged as a crack development section. By means of the recognition method, the crack development layer section of the dense sandstone oil-gas storage layer can be accurately and reliably recognized.

The embodiment of the invention provides an unmanned ship riverway garbage identification method and system, and the method comprises the steps: receiving a video image transmitted by an unmanned ship, and enabling the video image to be collected and obtained by a binocular stereo vision camera arranged on the unmanned ship; uploading the acquired video image to a cloud processing center through a5G high-speed network for real-time image processing, and performing feature point matching on a left-eye water surface image and a right-eye water surface image contained in the video image to obtain a feature point set, wherein the feature point set comprises at least one target feature point, and identifying a graph corresponding to the target feature point in the video image as river channelgarbage; and obtaining depth-of-field information of the river channel garbage based on the parameters of the binocular stereo vision camera. Compared with the prior art, the method for identifying the river channel garbage by utilizing human experience is more accurate; the riverway garbage can be further accurately positioned on the basis of identifying the riverway garbage, so that distance measuring equipment such as a radar is prevented from being mounted on the unmanned ship.

The invention discloses a zebra crossing comity behavior detection method based on a vehicle-mounted automobile data recorder video. The method comprises the following steps: step (1), setting a trapezoidal zebra crossing detection area F in a vehicle advancing direction of a video image; step (2): detecting whether the vehicle moves forward; (3) if the vehicle does not move forward, returning tothe step (2), otherwise, executing the step (4); step (4), detecting whether a zebra crossing exists in the area F or not; step (5), if no zebra crossing exists in the area F, returning to the step (2), otherwise, executing the step (6); step (6), detecting whether a person is on the zebra crossing or not; step (7), if no person exists on the zebra crossing, returning to the step (2), otherwise, executing the step (8); step (8), detecting whether the vehicle is stopped or not; and step (9), if the vehicle stops, judging that the vehicle is a gift pedestrian, otherwise, judging that the vehicleis a non-gift pedestrian. The zebra crossing comity behavior detection method has the advantage that the zebra crossing comity behavior can be effectively detected based on the vehicle-mounted video.

The invention relates to the field of domain molecular identification, in particular to a DNA barcode gene and an identification method for high resolution fusion analysis and identification of true and false of walnut milk. According to the DNA bar code gene and the identification method, specific primer pairs ITS2-152 for walnuts are designed, and the ITS2 gene sequence of 152bp is successfullyamplified; and a miniature DNA bar code is used, an HRM method is adopted, and true and false identification of the walnut milk is realized.

The invention relates to a quality detection method of a Jiuhua hemorrhoid suppository. The detection method disclosed by the invention comprises a method for identifying and determining rheum officinale, borneol, mangnolia officinalis and lithospermum, a method for determining the high performance liquid chromatography content of rheum officinale and a method for determining the gas chromatography content of borneol and isoborneol. The thin-layer identification method for rheum officinale, borneol, magnolia officinalis and lithospermum erythrorhizon comprises the following steps: taking jiuhua hemorrhoid suppository, grinding and adding methanol, dipping, filtering, evaporating filtrate to dryness, adding water into residues to dissolve, adding hydrochloric acid, heating, refluxing, immediately cooling, adding diethyl ether, shaking and extracting, merging diethyl ether liquid, recovering a solvent to dryness, adding methanol into residues to dissolve, and then taking the solution asa testing sample solution; taking a rhubarb reference medicinal material, preparing a reference medicinal material solution by the same method, taking a chrysophanol reference substance, and adding methanol to prepare a reference substance solution; and identifying according to the general rule 0502 in Chinese Pharmacopoeia 2015 edition by thin-layer chromatography.